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Sustainability in Smart Farms

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (30 November 2020) | Viewed by 11844

Special Issue Editor


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Guest Editor
Animal Science Department, University of Cordoba, Rabanales University Campus, 14071 Cordoba, Spain
Interests: technological innovation; viability and decision making in livestock enterprises; economic analysis and competitiveness of dairy farms (organics and conventional); sustainability of mixed systems; consumer satisfaction (cheese and other derived products)
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Special Issue Information

Dear Colleagues,

There is currently a progressive expansion and intensification of global agriculture and livestock, with a consequent deterioration of ecosystems. A total of 80% of farming land is replacing higher forest areas in ecosystems, with 15% of the farms oriented to commercial ends, and the improvement of the results is obtained through scale intensification.

A total of 35% of farms are small, and their development objective is to reduce poverty and inequality (gender, territories, etc.). Finally, 50% of livestock farms are subsistence-oriented and geared towards food security (food supply, health, etc.).

Medium and subsistence farms are based on fragile ecological systems with a high degree of marginality and vulnerability (Rangel-Quintos et al., 2014). They present a low level of technology, have difficulty in accessing external inputs, and are very sensitive to ecological disasters (droughts, floods, extreme temperatures, etc.), international and local economic turbulence and social problems (social exclusion, theft and insecurity, isolation from holdings, problems of abandonment of activity, lack of renewal, etc.). They often suffer from outbreaks of diseases that deplete stocks and decrease productivity of animals on the farm. Crops are planted in marginal areas, unsuitable for other agricultural uses where there is a regular shortage of low-quality pasture and fodder (FAO, 2018).

Improving a farm’s production model by combining sustainability with smart farms is a big challenge. Faced with further intensification, the development of models arises according to the ecosystem within a blue economy approach. Low-input systems which provide healthy and sustainable food and contribute to maintaining biodiversity and territorial competitiveness emerge. Technological innovation, smart farms, organic farming, integrated production, sustainability, conservation, competitiveness, circular economy, and dynamic capabilities, among others, are the key words that consider these new systems.

This Special Issue is focused on sustainability in smart farms. It is mainly oriented to small and subsistence producers who need more technical support and develop very heterogeneous systems, use different species, and become the conservators of ecosystems and genetic biodiversity. Contributors from different fields are invited to submit their articles in this topic.

Prof. Dr. Antón García-Martínez
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • mixed livestock systems
  • sustainable livestock
  • smallholders
  • livelihoods
  • rational territory management
  • livestock heritage
  • biodiversity
  • local productions
  • livestock products of differentiated quality
  • open innovation and precision livestock production
  • use the crop residues and by product in livestock
  • use of social networks in small farms

Published Papers (4 papers)

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Research

9 pages, 837 KiB  
Article
Socioeconomic Factors and Sustainable Forage Crops Production in Turkey Aegean Region: A Multivariate Modeling
by Celal Cevher and Bulent Altunkaynak
Sustainability 2020, 12(19), 8061; https://doi.org/10.3390/su12198061 - 30 Sep 2020
Cited by 6 | Viewed by 2848
Abstract
The aim of this study is to evaluate the effect of farmers’ socioeconomic characteristics on sustainable forage crop production after forage crop subsidies. One of the innovative aspects of the study is the simultaneous modeling of alfalfa, silage corn and vetch production efficiency. [...] Read more.
The aim of this study is to evaluate the effect of farmers’ socioeconomic characteristics on sustainable forage crop production after forage crop subsidies. One of the innovative aspects of the study is the simultaneous modeling of alfalfa, silage corn and vetch production efficiency. For this, the multivariate linear regression model was used. In this way, the effect of socioeconomic characteristics on production is more clearly demonstrated by taking into account the dependency structure between forage crop production. For the study, 487 farmers in the Aegean region, where fodder crops can be produced throughout the year, were interviewed face-to-face and data were collected through a questionnaire. According to the results obtained, it was determined that the width of the land had a positive effect on the increase in alfalfa, silage corn, and vetch production. The number of animals was found to have a positive effect on alfalfa and silage maize production growth. The production of alfalfa was higher in rural farmers, and vetch production was higher in urban farmers. Farmers who do not have non-agricultural income focused on vetch production, and farmers with non-agricultural income focused on alfalfa production. It was seen that the majority of the farmers participating in the study were primary school graduates and lived in rural areas. In general, a significant increase was observed in the production of silage corn, vetch, and alfalfa, respectively. After the subsidies, it was concluded that this increase in the production of silage corn, vetch, and alfalfa was not at a level to meet the amount of forage crops needed by animal husbandry. Full article
(This article belongs to the Special Issue Sustainability in Smart Farms)
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12 pages, 948 KiB  
Article
Effect of Fattening Period Length on Intramuscular and Subcutaneous Fatty Acid Profiles in Iberian Pigs Finished in the Montanera Sustainable System
by Dolores Ayuso, Ana González, Francisco Peña, Francisco I. Hernández-García and Mercedes Izquierdo
Sustainability 2020, 12(19), 7937; https://doi.org/10.3390/su12197937 - 25 Sep 2020
Cited by 13 | Viewed by 2342
Abstract
Twenty-four extensively reared Iberian pigs were used to study the influence of fattening period length (30, 60 or 90 days) on the fatty acid profiles of intramuscular and subcutaneous fat and the relationships between both profiles. Regarding fatty acid (FA) percentage, PUFA was [...] Read more.
Twenty-four extensively reared Iberian pigs were used to study the influence of fattening period length (30, 60 or 90 days) on the fatty acid profiles of intramuscular and subcutaneous fat and the relationships between both profiles. Regarding fatty acid (FA) percentage, PUFA was greater in backfat and MUFA was greater in intramuscular fat (IMF), regardless of fattening period length. The longer fattening period increased MUFA content in backfat (which had a more marked change in oleic acid) and decreased PUFA content in backfat and IMF, but it did not affect SFA content. Within the three-layer subcutaneous backfat, SFA content was greater in the inner layer, MUFA was greater in the outer layer and PUFA was greater in both of these layers. The few differences in FA composition between both adipose tissues suggest that the changes due to the feeding regime are slow and, therefore, although the length of the fattening phase was increased, the fatty acid profile did not change substantially. The strong relationship between the FA profiles of IMF and backfat might be used to predict one profile from the other one when the latter is more readily available for sampling or analytical reasons. Full article
(This article belongs to the Special Issue Sustainability in Smart Farms)
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25 pages, 1456 KiB  
Article
Regulation of Microclimatic Conditions inside Native Beehives and Its Relationship with Climate in Southern Spain
by Sergio Gil-Lebrero, Francisco Javier Navas González, Victoria Gámiz López, Francisco Javier Quiles Latorre and José Manuel Flores Serrano
Sustainability 2020, 12(16), 6431; https://doi.org/10.3390/su12166431 - 10 Aug 2020
Cited by 4 | Viewed by 2476
Abstract
In this study, the Wbee Sensor System was used to record data from 10 Iberian beehives for two years in southern Spain. These data were used to identify potential conditioning climatic factors of the internal regulatory behavior of the hive and its weight. [...] Read more.
In this study, the Wbee Sensor System was used to record data from 10 Iberian beehives for two years in southern Spain. These data were used to identify potential conditioning climatic factors of the internal regulatory behavior of the hive and its weight. Categorical principal components analysis (CATPCA) was used to determine the minimum number of those factors able to capture the maximum percentage of variability in the data recorded. Then, categorical regression (CATREG) was used to select the factors that were linearly related to hive internal humidity, temperature and weight to issue predictive regression equations in Iberian bees. Average relative humidity values of 51.7% ± 10.4 and 54.2% ± 11.7 were reported for humidity in the brood nest and in the food area, while average temperatures were 34.3 °C ± 1.5 in the brood nest and 29.9 °C ± 5.8 in the food area. Average beehive weight was 38.2 kg ± 13.6. Some of our data, especially those related to humidity, contrast with previously published results for other studies about bees from Central and northern Europe. Conclusively, certain combinations of climatic factors may condition within hive humidity, temperature and hive weight. Southern Iberian honeybees’ brood nest humidity regulatory capacity could be lower than brood nest thermoregulatory capacity, maintaining values close to 34 °C, even in dry conditions. Full article
(This article belongs to the Special Issue Sustainability in Smart Farms)
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15 pages, 804 KiB  
Article
Relationship between Consumer Motivation and the Gastronomic Experience of Olive Oil Tourism in Spain
by Salvador Moral-Cuadra, Raquel Acero de la Cruz, Ramón Rueda López and Enrique Salinas Cuadrado
Sustainability 2020, 12(10), 4178; https://doi.org/10.3390/su12104178 - 20 May 2020
Cited by 18 | Viewed by 3757
Abstract
The rise of new tourist typologies as a result of the change in the motivations of tourists and the increasingly active awareness of the environment are making these new tourist activities more sustainable. The development of typologies such as oleotourism or, more globally, [...] Read more.
The rise of new tourist typologies as a result of the change in the motivations of tourists and the increasingly active awareness of the environment are making these new tourist activities more sustainable. The development of typologies such as oleotourism or, more globally, gastronomic tourism is formed as an engine of socio-economic development wherever it is inserted, being even more important and decisive if it develops in rural areas. This study is based on a model of structural equations based on minimum partial squares. A sample size of 414 surveys was used, all of which were collected in the oil mills and museums of the towns of Baena, Cabra, Luque and Montilla, all of which belong to the province of Córdoba, Spain. This study develops a model based on motivations and gastronomic experience resulting from the development of oleotourism in the rural areas of the province of Córdoba (Spain). Among the most noteworthy results it is worth highlighting the positive influence of motivations on the gastronomic experience of tourists. In addition, the predictive relevance of the model is demonstrated. Full article
(This article belongs to the Special Issue Sustainability in Smart Farms)
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